The project has two parts:

• Dynamicly clustering the traffic by affinity propagation clustering algorithm.
• Predict traffic flow by using affinity propagation clustering algorithm and LSTM.

If you use any codes from this repository, please cite the following papers:

@inproceedings{wang2019dynamic,
  title={A Dynamic Traffic Awareness System for Urban Driving},
  author={Wang, Ziyue and Thulasiraman, Parimala and Thulasiram, Ruppa},
  booktitle={2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)},
  pages={945--952},
  year={2019},
  organization={IEEE}
}

@inproceedings{wang2019foreseeing,
  title={Foreseeing Congestion using LSTM on Urban Traffic Flow Clusters},
  author={Wang, Ziyue and Thulasiraman, Parimala},
  booktitle={2019 6th International Conference on Systems and Informatics (ICSAI)},
  pages={768--774},
  year={2019},
  organization={IEEE}
}

See LICENSE for details.